{"id":"W7052365046","doi":"","title":"Reducing Potentially Inappropriate Medications in Older Adults: A Way Forward","year":2019,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Disease; Older people; Population ageing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008030536,0.001443391,0.003947585,0.002859524,0.002151411,0.007795876,0.002385119,0.008778154,0.01631207],"category_scores_gemma":[0.02871585,0.0006124525,0.003009399,0.002057624,0.001452876,0.007779902,0.002967242,0.01156922,0.003993079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004255779,"about_ca_system_score_gemma":0.02372682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04097158,"about_ca_topic_score_gemma":0.07559497,"domain_scores_codex":[0.9962101,0.0009495459,0.0007359454,0.000370759,0.001358811,0.0003748605],"domain_scores_gemma":[0.9743941,0.008037518,0.002419082,0.0005426299,0.008885066,0.005721555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004653294,0.001848271,0.01427644,0.003793474,0.0005491879,0.0002615391,0.0005745289,0.0002031322,0.0002271131,0.00391788,0.4149638,0.5589194],"study_design_scores_gemma":[0.001801492,0.001437024,0.09316172,0.03965484,0.002391963,0.0007374593,0.005947392,0.001154831,0.000476291,0.01935471,0.8336058,0.0002765032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.003746875,0.2036447,0.001631032,0.7641089,0.01619812,0.0001226662,0.0004496809,0.0003549546,0.009743116],"genre_scores_gemma":[0.0666435,0.5258989,0.02567701,0.3210468,0.04543001,0.0005677908,0.001157884,0.0001502112,0.01342787],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04097158,"threshold_uncertainty_score":0.0814662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007503850795645898,"score_gpt":0.1992840098887083,"score_spread":0.1917801590930624,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}